Job Description:
- We are looking for a Python ML Engineer with strong expertise in Generative AI and Azure Databricks to design build and deploy scalable AI solutions
- The ideal candidate should have hands on experience with LLMs RAG pipelines and Azure based AI ecosystems along with a solid foundation in machine learning and data engineering
Key Responsibilities:
- Design and develop Generative AI solutions using LLMs OpenAI Azure OpenAI Hugging Face
- Build and optimize RAG Retrieval Augmented Generation pipelines
- Implement frameworks like LangChain LangGraph or LlamaIndex
- Develop and maintain ML models using Python ecosystem
- Work extensively on Azure Databricks for
- Data processing PySpark
- Model training experimentation MLflow
- Deployment monitoring
- Build scalable data pipelines on Databricks Lakehouse Delta Lake
- Integrate vector databases search systems Azure AI Search Pinecone FAISS etc
- Deploy ML GenAI solutions using MLOps best practices
- Collaborate with cross functional teams for production grade AI solutions
Technical Requirements:
- Strong programming skills in Python
- Hands on experience with
- Generative AI LLMs
- RAG embeddings vector search
- LangChain LangGraph LlamaIndex
- Mandatory experience in
- Azure Databricks
- PySpark Spark
- Experience with
- Azure OpenAI Azure AI Studio
- MLflow model serving MLOps
- Understanding of Transformers NLP prompt engineering
- Exposure to REST APIs FastAPI Flask for deployment
Additional Responsibilities:
- Experience with Databricks MosaicML Vector Search
- Knowledge of Docker Kubernetes
- Familiarity with CI CD pipelines
- Experience in building end to end AI applications
Preferred Skills:
Technology->AI-Data science->Machine Learning,Technology->AI-Data science->PYTHON
